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on Earth. We have computational capabilities that are designed to process millions of tasks in parallel, allowing the entire body to function under extremely variable conditions. Our organ of vision
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number NNF23OC0081287 Is the Job related to staff position within a Research Infrastructure? No Offer Description The GIMM
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Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 15 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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feedback and different perspectives in your work. Your experience and profile: PhD in Ecology, Soil Science, or Environmental Sciences, or a related discipline; A thorough understanding of linkages between
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) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd behaviour analysis), as well as researching existing sources of knowledge in the literature and
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methods, integrating qualitative approaches (e.g., interviews, walk-alongs, focus groups) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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can work to a high level of independence, but you also like working in a team, and you effectively incorporate feedback and different perspectives in your work. Your experience and profile: PhD in
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to your expertise. What do we require? A PhD degree (or equivalent qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented
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device technology. The CDTR leads numerous UK and international strategic programmes on power and RF electronics, including the European Innovation Accelerator, part of Horizon Europe, programme CoolbrAIn